CockroachDB vs PlanetScale(2026)
CockroachDB is better for teams that need truly distributed (no downtime). PlanetScale is the stronger choice if non-blocking schema changes. CockroachDB is freemium (from $0 (free tier 5GB)) and PlanetScale is paid (from $39/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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CockroachDB
CockroachDB is a distributed PostgreSQL-compatible database built for global scale and survivability.
Starting at $0 (free tier 5GB)
Visit CockroachDBPlanetScale
PlanetScale is a MySQL-compatible serverless database with branching workflows for schema changes.
Starting at $39/month
Visit PlanetScaleHow Do CockroachDB and PlanetScale Compare on Features?
| Feature | CockroachDB | PlanetScale |
|---|---|---|
| Pricing model | freemium | paid |
| Starting price | $0 (free tier 5GB) | $39/month |
| Distributed SQL | ✓ | — |
| PostgreSQL-compatible | ✓ | — |
| Multi-region | ✓ | — |
| Automatic sharding | ✓ | — |
| ACID transactions | ✓ | — |
| Change data capture | ✓ | — |
| MySQL-compatible | — | ✓ |
| Database branching | — | ✓ |
| Non-blocking schema changes | — | ✓ |
| Query insights | — | ✓ |
| Replication | — | ✓ |
CockroachDB Pros and Cons vs PlanetScale
CockroachDB
PlanetScale
Deep dive: CockroachDB
When to choose CockroachDB
Choose CockroachDB if you operate a geographically distributed system serving multiple regions from a single database, require zero-downtime upgrades, or need true ACID guarantees across nodes. Best for teams with 5+ engineers and >$5k/month database budgets. The serverless tier is appealing for early-stage companies that want global replication without managing ops. Choose it WRONG if you're building a typical CRUD app (Postgres is cheaper, faster to market), have simple data that fits in one region, or lack distributed systems expertise on the team. CockroachDB's operational complexity is real—debugging distributed transactions, understanding replication latency, and managing cluster topology are non-trivial. Early-stage teams often find they've bought global resilience they don't yet need.
Real-world use case
A fintech startup serving 15 countries built a real-time payment settlement platform on CockroachDB. They chose it over 3 separate Postgres instances to avoid managing replication and cross-region consistency. Setup took 3 weeks (vs. 1 week for single Postgres); training ops team added another 2 weeks. Database cost: $800/month serverless tier (3TB throughput). Transaction volume: 2M/month across regions with <100ms p99 latency. The upside: a region failure didn't need a failover—queries just rerouted automatically. The downside: some complex window functions from legacy Postgres didn't port over, requiring query rewrites. They spent 40 hours on optimization after launch because the query planner made unexpected choices on distributed joins.
Hidden gotchas
CockroachDB's serverless billing is unpredictable—a traffic spike or slow query can consume RUs (request units) much faster than expected, causing surprise bills. The query optimizer makes non-obvious decisions on distributed queries; a query that's fast in single-region Postgres can become a cross-region nightmare. Some Postgres features don't work: recursive CTEs, certain window functions, and full-text search. Replication lag between regions means you can't read your own writes immediately across regions (eventual consistency edge case). Connection pooling is mandatory at scale, but configuration is error-prone. The free tier (5GB) is too small for real apps; jump to paid is steep. Backup restore is asynchronously processed and can take hours, not minutes. Batch imports are throttled aggressively to protect other tenants, making data migration slow.
Pricing breakdown
CockroachDB Serverless starts free with 10 GiB storage and 50M Request Units/mo. Beyond free tier, it costs $1 per 10M Request Units and $1/GiB storage per month. The Dedicated plan starts at $295/mo for a 3-node cluster (2 vCPU, 8 GiB RAM per node). For a typical OLTP workload with 1M queries/day, Serverless costs $10-30/mo. The value proposition is built-in multi-region replication — achieving the same with PostgreSQL requires pgBouncer, logical replication, and significant ops overhead. The cost trap: complex joins and full-table scans consume Request Units faster than simple key lookups.
Deep dive: PlanetScale
When to choose PlanetScale
Choose PlanetScale if you're a MySQL shop or need non-blocking schema changes without downtime. Deployments with schema migrations run asynchronously while reads and writes continue—a genuine advantage over RDS MySQL, which blocks during ALTER TABLE. The branch and pull-request workflow for schema changes is polished, making deployments safer and faster for teams doing weekly or daily releases. Ideal for MySQL-native teams scaling to high traffic. PlanetScale is wrong if you need foreign key constraints (disabled by default for horizontal scaling), you're on a tight budget (no free tier since 2024; minimum $39/month), or you need multi-region write replicas without architecture complexity. Projects that relied on PlanetScale's free tier in 2023 now have nowhere to go—Firebase or Turso become alternatives. Also wrong if you plan to migrate off MySQL later; PlanetScale's schema changes rely on disabled foreign keys, so migrating to Postgres requires rearchitecting your data model. Teams heavily invested in normalized relational schemas with FX constraints should stay on PostgreSQL.
Real-world use case
A B2B SaaS team (~8 engineers) managing a high-traffic invoice platform (2 million monthly transactions) does weekly schema deployments on PlanetScale. One Wednesday at 2pm, they added an index to a 2TB table. Historically on RDS MySQL, this 4-6 minute lock would've cost ~$1,200 in lost transactions. On PlanetScale, the index built asynchronously in 8 minutes with zero downtime. Cost: $99/month. Real tradeoff: PlanetScale recommends disabling foreign keys for sharding, so they removed them. That decision required adding application-level validation to backfill constraints—one engineer spent a week on this. They chose PlanetScale over Neon because they were MySQL-trained; switching to Postgres would've required learning a new dialect, and losing FX constraints in Postgres wasn't necessary (they handle validation in app code anyway). The benefit: zero downtime deployments cut their deployment risk and enabled faster iteration.
Hidden gotchas
Foreign keys are disabled by default, and the docs bury this critical fact. You only discover it when your INSERT fails with 'no referenced key' and realize the constraint never existed. Re-enabling them requires migrating your entire schema and application validation logic. Their connection pooling proxy ('Connect') adds 1-2 seconds to the first query in serverless functions because routing through their proxy is slow. Switching to native MySQL connection pooling bypasses Neon's schema safety features, creating a tradeoff between performance and safety. Billing is opaque: charged per 'read units' and 'write units,' but conversion rates are unclear from the dashboard. A single slow query can spike your bill 10x overnight without warning. They grandfather old customers on better rates while charging new signups 3x higher unit pricing—this disparity is undocumented. They killed the free tier in 2024, but many tutorials still reference it, misleading new developers. Multi-region setup requires paying for multiple deployments ($39 each), effectively doubling cost—not clearly stated upfront. Connection limits are lower than expected; you'll hit them at lower concurrency than on RDS.
Pricing breakdown
PlanetScale's Scaler plan starts at $39/mo for 10 GB storage, 1 billion row reads, and 10 million row writes. The Scaler Pro plan at $99/mo doubles these limits and adds SOC 2 compliance. They removed their free Hobby plan in April 2024. Row reads beyond the plan limit cost $1 per billion, writes cost $1.50 per million. The branching feature (Git-like schema management) is included in all paid plans. For a typical SaaS with moderate write volume, expect $39-99/mo. The main cost trap: write-heavy workloads (analytics ingestion, activity feeds) can blow past the included write quota quickly.
Should You Use CockroachDB or PlanetScale?
For most teams, CockroachDB is the better default: it offers truly distributed (no downtime) and is freemium (from $0 (free tier 5GB)). Choose PlanetScale instead if non-blocking schema changes matters more than complex operations. There is no universal winner — the right pick depends on your budget, team size, and whether you value truly distributed (no downtime) or non-blocking schema changes more.
Choose CockroachDB if…
- •Truly distributed (no downtime)
- •Postgres-compatible
- •Multi-region out of the box
Choose PlanetScale if…
- •Non-blocking schema changes
- •MySQL compatibility
- •Excellent performance